Triple
T13514923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Huston |
E322734
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nan Sunderland
Nan Sunderland was an American stage and film actress best known for her work in early 20th-century theater and cinema.
|
E1047502
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nan Sunderland | Statement: [Walter Huston, spouse, Nan Sunderland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan Sunderland Context triple: [Walter Huston, spouse, Nan Sunderland]
-
A.
Betsy Thomas
Betsy Thomas is an American television writer and producer best known for creating and executive producing the sitcom "My Boys."
-
B.
Grace Sheffield
Grace Sheffield is the youngest, intellectually precocious daughter in the wealthy Sheffield family on the sitcom "The Nanny."
-
C.
Vivian Bagley
Vivian Bagley is a central comedic character on the classic American sitcom "The Lucy Show," known as Lucy Carmichael’s best friend and roommate.
-
D.
Ann Cherrington
Ann Cherrington is best known as the wife of the late U.S. Senator Ted Stevens of Alaska.
-
E.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nan Sunderland Triple: [Walter Huston, spouse, Nan Sunderland]
Generated description
Nan Sunderland was an American stage and film actress best known for her work in early 20th-century theater and cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nan Sunderland Target entity description: Nan Sunderland was an American stage and film actress best known for her work in early 20th-century theater and cinema.
-
A.
Betsy Thomas
Betsy Thomas is an American television writer and producer best known for creating and executive producing the sitcom "My Boys."
-
B.
Grace Sheffield
Grace Sheffield is the youngest, intellectually precocious daughter in the wealthy Sheffield family on the sitcom "The Nanny."
-
C.
Vivian Bagley
Vivian Bagley is a central comedic character on the classic American sitcom "The Lucy Show," known as Lucy Carmichael’s best friend and roommate.
-
D.
Ann Cherrington
Ann Cherrington is best known as the wife of the late U.S. Senator Ted Stevens of Alaska.
-
E.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d91e35881909a7184be0ad70c14 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75fbb39848190beeae0e4c112510d |
completed | May 3, 2026, 2:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76049056c8190b77f8ca78c8f77a0 |
completed | May 3, 2026, 2:48 p.m. |
Created at: April 9, 2026, 9:44 p.m.